Lisa D. Pfefferle
· C. Baldwin Sawyer ProfessorVerifiedYale University · Chemical and Environmental Engineering
Active 1983–2025
About
Lisa D. Pfefferle is the C. Baldwin Sawyer Professor of Chemical & Environmental Engineering at Yale University. Her research focuses on chemical reaction engineering, combustion kinetics, biofuels, soot formation mechanisms, carbon nanotube synthesis and separation, and nanomaterials for energy, environmental, and biomedical applications. She has been recognized with awards such as the IBM Faculty Award in 2005 and holds five patents related to nanomaterials synthesis and medical applications. Her work includes significant contributions to the understanding and development of nanomaterials and their applications in energy and health sectors, with a notable publication record that emphasizes synthesis techniques and mechanisms in nanotechnology and combustion processes.
Research topics
- Organic chemistry
- Chemistry
- Materials science
- Physical chemistry
- Nanotechnology
- Chemical engineering
- Mineralogy
- Computational chemistry
- Chromatography
- Photochemistry
- Thermodynamics
- Environmental chemistry
- Inorganic chemistry
Selected publications
ACS Applied Materials & Interfaces · 2025-10-02 · 4 citations
articleSenior authorCorrespondingLonger wavelengths of light contain less energy but comprise more of the solar spectrum, making them important to incorporate into any process aiming for high efficiency. Here, we developed a novel redox-mediated synthetic mechanism to construct a heterojunction with strongly coupled interfaces. Specifically, an α-Fe2O3/Cu2O/CuO nanosheet composite was synthesized, forming an S-scheme α-Fe2O3/Cu2O electronic interface, a burgeoning class of materials designed to upconvert longer wavelengths of light and utilize solar energy more effectively. Through a series of experiments including X-ray photoelectron spectroscopy (XPS), ultraviolet–visible (UV–Vis) diffuse reflectance spectroscopy (UV–Vis-DRS), electrochemical impedance spectroscopy (EIS), and photocatalytic measurements, we were able to fully confirm the electronic structure of the α-Fe2O3/Cu2O interfacial heterojunction. These characterizations demonstrate the S-scheme flow of electrons, which is further supported by COMSOL numerical simulations. The successful formation of the S-scheme heterojunction is made possible through the direct Fe–O–Cu covalent bonding at the interface. These bonds provide ultrafast interfacial charge transfer pathways on picosecond time scales followed by long-lived charge-separated states, as quantified by our transient optical experiments. The proposed redox-mediated synthetic strategy provides a valuable guideline for constructing effective solid heterojunctions with strongly coupled interfaces, which are desirable for various applications in catalysis, energy storage, electronics, photovoltaics, and beyond.
Journal of Cleaner Production · 2024-06-01 · 6 citations
articleSSRN Electronic Journal · 2024-01-01
preprintOpen accessCarbon · 2024-07-10 · 1 citations
articleSenior authorSooting tendencies: Combustion science for designing sustainable fuels with improved properties
Proceedings of the Combustion Institute · 2024-01-01 · 8 citations
articleOpen access1st authorThe transition from fossil fuels to sustainable fuels offers a unique opportunity to select new fuel compositions that will not only reduce net carbon dioxide emissions , but also improve combustor performance and reduce emissions of other pollutants. A particularly valuable goal is finding fuels that reduce soot emissions. These emissions cause significant global warming , especially from aviation since soot particles are the nucleation site of contrails . Furthermore, soot contributes to ambient fine particulates , which are responsible for millions of deaths worldwide each year. Fortunately, soot formation rates depend sensitively on the molecular structure of the fuel, so fuel composition provides a strong lever for reducing emissions. Sooting tendencies measured in laboratory-scale flames provide a scientific basis for selecting fuels that will maximize this benefit. Recent work has developed new techniques that expand the range of compounds that can be tested by reducing the required sample volume and increasing the dynamic range. This has many benefits, but it is particularly essential for the development of structure-property relationships using machine learning algorithms : the accuracy and predictive ability of these relationships depends strongly on the number of compounds in the training set and the coverage of structural features. This paper reviews: (1) these new techniques; (2) trends in sooting tendency versus molecular structure; (3) structure-property relationships for sooting tendency; and (4) interpretation of the observed trends based on first-principle chemical kinetic and molecular dynamic simulations.
Fuel · 2024-08-31 · 3 citations
articleThe sooting behavior of lactones as sustainable fuels
Sustainable Energy & Fuels · 2024-01-01 · 3 citations
articleOpen accessQuantitative sooting tendencies were measured for 10 lactones with a wide range of molecular structures. Lactones have potential as low-soot, sugar-derived alternative fuels.
Proceedings of the Combustion Institute · 2024-01-01 · 2 citations
articleSustainable Energy & Fuels · 2024-01-01
articleOpen accessPyruvate-derived dialkoxyalkanoates (DAOAs) were synthesized in good yield using a mild protocol. Combustion performance and physical properties of DAOAs compare favorably to other low-carbon diesel fuels.
Combustion and Flame · 2024-07-31 · 1 citations
article
Recent grants
NSF · $600k · 2013–2016
NSF · $300k · 2008–2012
Formation of Toxic Combustion Byproducts and Soot
NSF · $415k · 2002–2005
NSF · $242k · 2005–2008
Collaborative Research: Scalable Separation of Single Walled Carbon Nanotubes
NSF · $240k · 2013–2016
Frequent coauthors
- 131 shared
Charles S. McEnally
- 118 shared
Gary L. Haller
Yale University
- 67 shared
Dragoș Ciuparu
Babeș-Bolyai University
- 57 shared
Sangyun Lim
Yale University
- 42 shared
Junqing Zhu
Yale University
- 33 shared
Nan Li
Changzhou University
- 31 shared
Yuan Chen
Chongqing University
- 30 shared
Mathieu Pinault
Labs
Education
- 1983
PhD, Chemical Engineering
University of Pennsylvania
Awards & honors
- IBM Faculty Award (2005)
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